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TCSV
2010

Efficient Video Quality Assessment Along Temporal Trajectories

8 years 10 months ago
Efficient Video Quality Assessment Along Temporal Trajectories
We propose a new video quality assessment (VQA) algorithm--the motion compensated structural similarity index-that assesses not only spatial quality but also quality along temporal trajectories. Drawing inspiration from the motioncompensated approach followed for video compression, we propose a motion-compensated approach to temporal quality assessment. The proposed algorithm is computationally efficient as compared to other VQA algorithms that utilize motion information from extracted optical flow and correlates well with human perception of quality. In order to exemplify the utility of the algorithm in a practical setting, we evaluate the quality of H.264/AVC compressed videos. Efficiency of computation is enabled by the novel motion-vector re-use concept.
Anush K. Moorthy, Alan Conrad Bovik
Added 21 May 2011
Updated 21 May 2011
Type Journal
Year 2010
Where TCSV
Authors Anush K. Moorthy, Alan Conrad Bovik
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